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Methods matter : [manuscript] : improving causal inference in educational and social science research / Richard J. Murnane, John B. Willett.

By: Contributor(s): Material type: TextTextPublication details: Oxford ; New York : Oxford University Press, 2011.Description: xv, 397 p. : ill. ; 25 cmISBN:
  • 9780199753864 (hardback) :
  • 0199753865 (hardback)
Subject(s): DDC classification:
  • 370.7/2 22
LOC classification:
  • LB1028 .M86 2011
Contents:
The challenge for educational research -- The importance of theory -- Designing research to address causal questions -- Investigator-designed randomized experiments -- Challenges in designing, implementing, and learning from randomized experiments -- Statistical power and sample size -- Experimental research when participants are clustered within intact groups -- Using natural experiments to provide "arguably exogenous" treatment variability -- Estimating causal effects using a regression-discontinuity approach -- Introducing instrumental-variables estimation -- Using IVE to recover the treatment effect in a quasi-experiment -- Dealing with bias in treatment effects estimated from nonexperimental data -- Methodological lessons from the long quest -- Substantive lessons and new questions.
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Holdings
Item type Current library Call number Status Barcode
Books Books Ethiopian Graduate School of Theology Library Available at Circulation Section 370.72 Mur 2011 (Browse shelf(Opens below)) Available 12001

Includes bibliographical references and index.

The challenge for educational research -- The importance of theory -- Designing research to address causal questions -- Investigator-designed randomized experiments -- Challenges in designing, implementing, and learning from randomized experiments -- Statistical power and sample size -- Experimental research when participants are clustered within intact groups -- Using natural experiments to provide "arguably exogenous" treatment variability -- Estimating causal effects using a regression-discontinuity approach -- Introducing instrumental-variables estimation -- Using IVE to recover the treatment effect in a quasi-experiment -- Dealing with bias in treatment effects estimated from nonexperimental data -- Methodological lessons from the long quest -- Substantive lessons and new questions.

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